Search ga_ls8c_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2022-09-09 11:57:59	ga_ls8c_ard_3-2-1_116075_2022-09-09_final
2023-01-26 11:42:48	ga_ls8c_ard_3-2-1_113084_2023-01-26_final
2023-03-20 11:57:17	ga_ls8c_ard_3-2-1_116075_2023-03-20_final
2023-09-16 11:35:07	ga_ls8c_ard_3-2-1_112081_2023-09-16_final
2023-09-19 10:22:45	ga_ls8c_ard_3-2-1_101070_2023-09-19_final
2023-09-23 10:04:01	ga_ls8c_ard_3-2-1_097085_2023-09-23_final
2023-09-25 09:47:42	ga_ls8c_ard_3-2-1_095075_2023-09-25_final
2023-09-26 10:30:58	ga_ls8c_ard_3-2-1_102075_2023-09-26_final
2023-09-27 11:13:02	ga_ls8c_ard_3-2-1_109072_2023-09-27_final
2023-09-27 11:17:02	ga_ls8c_ard_3-2-1_109082_2023-09-27_final
2023-09-30 10:10:15	ga_ls8c_ard_3-2-1_098085_2023-09-30_final
2023-09-30 11:45:09	ga_ls8c_ard_3-2-1_114075_2023-09-30_final
2023-09-30 11:46:21	ga_ls8c_ard_3-2-1_114078_2023-09-30_final
2023-10-02 09:57:06	ga_ls8c_ard_3-2-1_096083_2023-10-02_final
2023-10-02 11:34:23	ga_ls8c_ard_3-2-1_112079_2023-10-02_final
2023-10-03 10:36:22	ga_ls8c_ard_3-2-1_103073_2023-10-03_final
2023-10-03 10:39:10	ga_ls8c_ard_3-2-1_103080_2023-10-03_final
2023-10-04 11:24:25	ga_ls8c_ard_3-2-1_110085_2023-10-04_final
2023-10-07 10:11:39	ga_ls8c_ard_3-2-1_099073_2023-10-07_final
2023-10-08 09:19:14	ga_ls8c_ard_3-2-1_090081_2023-10-07_final
2023-10-14 10:18:16	ga_ls8c_ard_3-2-1_100074_2023-10-14_final
2023-10-17 10:50:21	ga_ls8c_ard_3-2-1_105077_2023-10-17_final
2023-10-19 10:35:11	ga_ls8c_ard_3-2-1_103070_2023-10-19_final
2023-10-20 09:45:09	ga_ls8c_ard_3-2-1_094084_2023-10-20_final
2023-10-22 11:06:55	ga_ls8c_ard_3-2-1_108072_2023-10-22_final
2023-10-23 10:16:29	ga_ls8c_ard_3-2-1_099085_2023-10-23_final
2023-10-24 09:18:29	ga_ls8c_ard_3-2-1_090079_2023-10-23_final
2023-10-27 09:47:48	ga_ls8c_ard_3-2-1_095075_2023-10-27_final
2023-10-27 11:29:29	ga_ls8c_ard_3-2-1_111082_2023-10-27_final
2023-10-27 11:29:53	ga_ls8c_ard_3-2-1_111083_2023-10-27_final
2023-11-01 10:06:21	ga_ls8c_ard_3-2-1_098075_2023-11-01_final
2023-11-05 11:22:54	ga_ls8c_ard_3-2-1_110081_2023-11-05_final
2023-11-09 09:18:26	ga_ls8c_ard_3-2-1_090079_2023-11-08_final
2023-11-10 09:59:17	ga_ls8c_ard_3-2-1_097073_2023-11-10_final
2023-11-12 11:28:38	ga_ls8c_ard_3-2-1_111080_2023-11-12_final
2023-11-13 10:30:38	ga_ls8c_ard_3-2-1_102074_2023-11-13_final
2023-11-14 09:35:01	ga_ls8c_ard_3-2-1_093074_2023-11-14_final
2023-11-14 11:17:30	ga_ls8c_ard_3-2-1_109083_2023-11-14_final
2023-11-17 10:05:33	ga_ls8c_ard_3-2-1_098073_2023-11-17_final
2023-11-17 10:06:45	ga_ls8c_ard_3-2-1_098076_2023-11-17_final
2023-11-19 09:53:13	ga_ls8c_ard_3-2-1_096073_2023-11-19_final
2023-11-19 09:56:24	ga_ls8c_ard_3-2-1_096081_2023-11-19_final
2023-11-20 10:38:28	ga_ls8c_ard_3-2-1_103078_2023-11-20_final
2023-11-22 10:22:56	ga_ls8c_ard_3-2-1_101070_2023-11-22_final
2023-11-22 10:26:31	ga_ls8c_ard_3-2-1_101079_2023-11-22_final
2023-11-22 10:27:19	ga_ls8c_ard_3-2-1_101081_2023-11-22_final
2023-11-26 11:39:06	ga_ls8c_ard_3-2-1_113075_2023-11-26_final
2023-11-27 10:44:16	ga_ls8c_ard_3-2-1_104077_2023-11-27_final
2023-11-28 11:29:07	ga_ls8c_ard_3-2-1_111081_2023-11-28_final
2023-11-30 11:16:44	ga_ls8c_ard_3-2-1_109081_2023-11-30_final
2023-12-02 09:25:28	ga_ls8c_ard_3-2-1_091081_2023-12-01_final
2023-12-02 11:01:09	ga_ls8c_ard_3-2-1_107073_2023-12-02_final
2023-12-03 10:06:42	ga_ls8c_ard_3-2-1_098076_2023-12-03_final
2023-12-04 10:51:33	ga_ls8c_ard_3-2-1_105080_2023-12-04_final
2023-12-06 10:37:32	ga_ls8c_ard_3-2-1_103076_2023-12-06_final
2023-12-06 10:38:20	ga_ls8c_ard_3-2-1_103078_2023-12-06_final
2023-12-07 09:45:54	ga_ls8c_ard_3-2-1_094086_2023-12-07_final
2023-12-08 10:24:47	ga_ls8c_ard_3-2-1_101075_2023-12-08_final
2023-12-11 09:18:50	ga_ls8c_ard_3-2-1_090080_2023-12-10_final
2023-12-17 10:20:18	ga_ls8c_ard_3-2-1_100079_2023-12-17_final
2023-12-30 11:29:02	ga_ls8c_ard_3-2-1_111081_2023-12-30_final
2024-01-05 10:47:52	ga_ls8c_ard_3-2-1_105071_2024-01-05_final
2024-01-07 10:35:08	ga_ls8c_ard_3-2-1_103070_2024-01-07_final
2024-01-10 09:32:22	ga_ls8c_ard_3-2-1_092083_2024-01-10_final
2024-01-13 11:39:22	ga_ls8c_ard_3-2-1_113076_2024-01-13_final
2024-01-15 11:27:01	ga_ls8c_ard_3-2-1_111076_2024-01-15_final
2024-01-22 11:34:20	ga_ls8c_ard_3-2-1_112079_2024-01-22_final
2024-01-23 10:37:06	ga_ls8c_ard_3-2-1_103075_2024-01-23_final
2024-01-24 11:22:44	ga_ls8c_ard_3-2-1_110081_2024-01-24_final
2024-01-31 09:47:15	ga_ls8c_ard_3-2-1_095074_2024-01-31_final
2024-02-02 09:38:30	ga_ls8c_ard_3-2-1_093083_2024-02-02_final
2024-02-04 09:27:21	ga_ls8c_ard_3-2-1_091086_2024-02-03_final
2024-02-04 11:01:03	ga_ls8c_ard_3-2-1_107073_2024-02-04_final
2024-02-04 11:02:39	ga_ls8c_ard_3-2-1_107077_2024-02-04_final
2024-02-04 11:03:27	ga_ls8c_ard_3-2-1_107079_2024-02-04_final
2024-02-09 09:43:31	ga_ls8c_ard_3-2-1_094080_2024-02-09_final
2024-02-10 10:24:23	ga_ls8c_ard_3-2-1_101074_2024-02-10_final
2024-02-10 10:25:59	ga_ls8c_ard_3-2-1_101078_2024-02-10_final
2024-02-11 11:09:38	ga_ls8c_ard_3-2-1_108079_2024-02-11_final
2024-02-16 11:29:20	ga_ls8c_ard_3-2-1_111082_2024-02-16_final
2024-02-17 10:32:07	ga_ls8c_ard_3-2-1_102078_2024-02-17_final
2024-02-18 09:39:42	ga_ls8c_ard_3-2-1_093086_2024-02-18_final
2024-02-20 09:24:08	ga_ls8c_ard_3-2-1_091078_2024-02-19_final
2024-02-20 09:27:20	ga_ls8c_ard_3-2-1_091086_2024-02-19_final
2024-02-25 09:44:15	ga_ls8c_ard_3-2-1_094082_2024-02-25_final
2024-02-25 09:45:27	ga_ls8c_ard_3-2-1_094085_2024-02-25_final
2024-02-28 10:15:31	ga_ls8c_ard_3-2-1_099083_2024-02-28_final
2024-02-29 10:56:46	ga_ls8c_ard_3-2-1_106078_2024-02-29_final
2024-03-05 09:39:56	ga_ls8c_ard_3-2-1_093087_2024-03-05_final
2024-03-05 11:15:13	ga_ls8c_ard_3-2-1_109078_2024-03-05_final
2024-03-14 09:29:42	ga_ls8c_ard_3-2-1_092077_2024-03-13_final
2024-03-14 09:32:29	ga_ls8c_ard_3-2-1_092084_2024-03-14_final
2024-03-16 09:18:55	ga_ls8c_ard_3-2-1_090081_2024-03-15_final
2024-03-17 09:58:34	ga_ls8c_ard_3-2-1_097072_2024-03-17_final
2024-03-19 09:48:11	ga_ls8c_ard_3-2-1_095077_2024-03-19_final
2024-03-22 10:17:26	ga_ls8c_ard_3-2-1_100073_2024-03-22_final
2024-03-28 09:45:00	ga_ls8c_ard_3-2-1_094085_2024-03-28_final
2024-03-28 11:23:05	ga_ls8c_ard_3-2-1_110083_2024-03-28_final
2024-03-30 11:05:57	ga_ls8c_ard_3-2-1_108071_2024-03-30_final
2024-04-04 11:28:53	ga_ls8c_ard_3-2-1_111082_2024-04-04_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years